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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

In this blog, I will discuss the use of AI/ML demand planning for fresh products to help maximize sales and reduce waste. Another example of data normalization is accounting for lost sales due to stockouts or waste of perishable products due to overstocking of inventory. Wouldn’t it be cool to know within minutes?

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6 Inventory Control Techniques for Stock Optimization

EazyStock

There are hundreds of inventory control blog posts on how to organize warehouses, track goods and pick and pack efficiently. Read our blog on demand forecasting accuracy for more details. For example, you should consider setting different service levels, safety stock levels and reordering parameters for each category.

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Why is freight data a powerful weapon in the era of COVID-19?

FreightWaves SONAR

For example, as seen in scenario A1, the global unconstrained demand for air cargo will fall by 14% of pre-crisis volumes in the second quarter of 2020 and will not rebound to 2019 levels until around mid-2022.” Using data, supply chains could better plan replenishment orders, avoid congestion and prevent further disruption.

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Product News Update: April 2020

EazyStock

Planned Events for Managing Forward Orders. A planned event is when your customer has a planned event where the future demand is known; for example scheduled repairs and maintenance. This gives you a number of benefits: Planned events, such as scheduled repairs and maintenance, can take place as planned.

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Coronavirus Series Part 2 – Overcoming Demand Forecasting Challenges Due to COVID-19

EazyStock

In this blog series we look at how inventory optimization tools , such as EazyStock, can support inventory management teams. This kind of software will help you understand how volatile your demand is and adjust your replenishment parameters as needed. This is our second post of this 4-part series. demand outliers. Risk of runout.

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Why near-real-time electronic freight tender trucking data is more reliable than waiting on submitted data

FreightWaves SONAR

And while some events (like the weather) cannot necessarily be predicted entirely, it’s possible to increase trucking capacity in advance due to the presence of certain indicators. Obviously, that’s only one example, but it shows the value of insight and using data that’s available now. .

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Supply Chain Management:ROP using APO CTM - Infosys Blogs

Infosys Supply Chain Management

View all Infosys blogs. News & Events. |. The Infosys global supply chain management blog enables leaner supply chains through process and IT related interventions. I have presented a very simple example to demonstrate the point that the Reorder Point planning can be achieved with CTM Solver. Islamic Banking.